Relationship modeling heating and cooling degree days in the territory of Iran with air temperature

This study aimed to develop and evaluate the accuracy of equations to calculate degree days using the average daily air temperature is wrote. In order to the beginning, calculate the heating degree days ( ) and cooling ( ) of output Asfazari database using two models, and considering the brink of the United States of America was used Standards Association. In order to relationship the need for heating and cooling stepwise multiple linear regression method with the country of cubic and quadratic equations were used. The results showed that quadratic function is much more accurate than predictions cubic function for heating and cooling needs with a standard deviation 0/328 and 0/370 from. The beta coefficient ( ) and indicates that except for the constant in the equation , factor temperature with an average three lies more important than other factors are input to models for heating needs. As well as for be cooling needs of an average air temperature is more important than other factors. Calculate the combined standard deviation , latitude and altitude increased the accuracy of prediction model that represents the spatial variation of these parameters and alignment of multilateral environmental factors. Spatial analysis requires several characteristic heating and cooling climate for this parameter in the territory of Iran is evident: 1. implantation weather in the form of climatic zones; (2) require high spatial variation uneven heating and cooling arrangement and sharp changes in elevation.